Remote GPU Systems Engineer – Inference & Kernels

Userc Dehradun; United Kingdom; Remote; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation

Career growth

Flexibility and ownership

Collaborative and innovative culture

International environment

Job summary

Nebius is hiring a System Engineer (Token Factory) to join the Nebius Cloud team. This remote role supports global GPU cloud infrastructure, focusing on low-level kernel and runtime components for AI inference across multiple architectures.

You will optimize end-to-end execution, collaborate with ML and backend teams, and help deploy scalable inference platforms for foundation models. This international opportunity offers flexibility and ownership in a fast-moving AI environment.

Qualifications

• Strong proficiency in C++, OR expertise in GPU programming with a focus on low-level high-performance coding and memory management.
• Experience in GPU programming or systems-level software development, e.g. operating system internals, kernel modules, or device drivers.
• Hands-on experience with profiling and debugging tools to identify performance issues on both CPUs and GPUs, and the ability to optimize code based on those findings.
• Solid understanding of CPU/GPU architecture and memory hierarchy.

Responsibilities

• Develop and optimize low-level kernels and runtime components for AI inference
• Improve performance of inference engines GPU platforms
• Profile and debug system-level and hardware-level performance issues
• Integrate support for new hardware architectures (Hopper, Blackwell, Rubin)
• Collaborate with ML and backendteams to optimize end-to-end execution

Skills

C++

GPU programming

Profiling and debugging

CPU/GPU architecture

Tools

perf

VTune

Nsight

ROCm profiler

Job description

Nebius is hiring a System Engineer (Token Factory) to join the Nebius Cloud team. This remote role supports global GPU cloud infrastructure, focusing on low-level kernel and runtime components for AI inference across multiple architectures.

You will optimize end-to-end execution, collaborate with ML and backend teams, and help deploy scalable inference platforms for foundation models. This international opportunity offers flexibility and ownership in a fast-moving AI environment.